Blind Spot Warning Radar Using Geometric Calculation
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Solution Overview
Problem
Drivers of vehicles, especially motorcycle drivers, are often unaware when they are in a blind spot of another vehicle, leading to potential safety hazards due to the inability to see each other, even with aids like rear-view mirrors.
Innovation Solution
A method using a radar sensor to detect and classify surrounding objects, calculate the blind spot area, and generate a warning signal for the driver when they are in a blind spot, incorporating geometric calculations and relative vehicle positions to ensure precise detection and early warning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a radar sensor with a large range and broad recording area is used to detect blind spots, then the detection capability and safety warning accuracy are improved, but the device complexity and cost increase
Solution Approach 1:
The patent divides the monitoring task into two parts: a basic radar sensor for general object detection and a separate blind spot calculation unit that uses geometric algorithms to determine blind angle areas. This segmentation allows the radar sensor to remain simple while the blind spot detection capability is enhanced through software-based geometric calculations rather than requiring complex sensor hardware.
Solution Approach 2:
The patent introduces an intermediary calculation unit that processes radar data through geometric algorithms to determine blind spot areas. This intermediary layer translates simple radar detections into complex blind spot warnings without requiring the radar sensor itself to be complex, thus resolving the contradiction between detection capability and device complexity.
2Measurement precision
If geometric calculations with high computing power are used to accurately determine blind angle areas, then the precision of blind spot detection is improved, but the computing time and system complexity increase
Solution Approach 1:
The patent pre-calculates and stores geometric parameters for different vehicle types (length, width, blind angle characteristics) in a database. When a vehicle is detected, the system quickly retrieves pre-stored geometric data and performs simplified calculations based on the detected vehicle's type and position, rather than performing complex real-time geometric modeling. This preliminary preparation significantly reduces computing time while maintaining precision.
Solution Approach 2:
The patent changes the calculation approach from complex real-time geometric modeling to parameter-based lookup and simplified calculation. By representing vehicle characteristics as discrete parameters (vehicle type, detected position, pre-stored geometric data), the system achieves accurate blind spot detection with reduced computational complexity and faster processing time.
3Loss of time
If the radar sensor range is extended to 250 m for early warning, then the warning time is increased, but the energy consumption and false detection risk increase
Solution Approach 1:
The patent implements dynamic adjustment of the radar sensor's operational parameters based on the detected vehicle's distance and relative position. The system activates full-range monitoring only when vehicles are detected within critical distances that could result in blind spot situations, rather than maintaining constant high-power operation. This dynamic operation extends warning time when needed while reducing energy consumption during normal conditions.
Solution Approach 2:
The system uses feedback from detected vehicle positions and movements to dynamically control radar operation. When vehicles are detected in positions that may lead to blind spot scenarios, the radar maintains extended range monitoring. When no such vehicles are present, the radar reduces its operational range or power level, thus extending warning time when necessary while minimizing energy consumption overall.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances safety by providing timely warnings to drivers about potential blind spot entries, improving awareness and reducing the risk of accidents through accurate detection and differentiation of vehicle positions and types.
Implementation Method 1
The sensor can, for example, be a radar sensor. In one embodiment, the radar sensor has a relatively small range, such as a range of approximately 60 m.
Data Source
AI summary
A method and a device are disclosed for warning a driver of a first vehicle when the first vehicle is located in a blind spot of a second vehicle. The method includes recording the surrounding area in front of and alongside the first vehicle using a sensor, classifying objects in the recorded surrounding area, determining a relative position of an object classified as a second vehicle in relation to the first vehicle using the sensor, calculating the area of a blind angle on the basis of the determined relative position of the object in relation to the first vehicle, checking whether the first vehicle is located in the calculated area of the blind angle, and generating a warning signal for the driver of the first vehicle when the first vehicle is located in the calculated area of the blind angle.


